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1908.02203
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Model Agnostic Defence against Backdoor Attacks in Machine Learning
IEEE Transactions on Reliability (IEEE Trans. Reliab.), 2019
6 August 2019
Sakshi Udeshi
Shanshan Peng
Gerald Woo
Lionell Loh
Louth Rawshan
Sudipta Chattopadhyay
AAML
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Papers citing
"Model Agnostic Defence against Backdoor Attacks in Machine Learning"
50 / 56 papers shown
Localizing Malicious Outputs from CodeLLM
Mayukh Borana
Junyi Liang
Sai Sathiesh Rajan
Sudipta Chattopadhyay
AAML
112
0
0
21 Sep 2025
NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning
Wenjie Huo
Katinka Wolter
AAML
132
0
0
07 Aug 2025
DeBackdoor: A Deductive Framework for Detecting Backdoor Attacks on Deep Models with Limited Data
Dorde Popovic
Amin Sadeghi
Ting Yu
Sanjay Chawla
Issa M. Khalil
AAML
322
1
0
27 Mar 2025
Test-Time Backdoor Detection for Object Detection Models
Computer Vision and Pattern Recognition (CVPR), 2025
Hangtao Zhang
Yichen Wang
Shihui Yan
Chenyu Zhu
Ziqi Zhou
Linshan Hou
Shengshan Hu
Minghui Li
Yanjun Zhang
L. Zhang
AAML
209
9
0
19 Mar 2025
AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection
Jialin Lu
Junjie Shan
Ziqi Zhao
Ka-Ho Chow
AAML
439
2
0
09 Mar 2025
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation
Knowledge Discovery and Data Mining (KDD), 2024
Haiyang Yu
Tian Xie
Jiaping Gui
Pengyang Wang
P. Yi
Yue Wu
390
3
0
17 Nov 2024
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of Artificial Mental Imagery
Ching-Chun Chang
Kai Gao
Shuying Xu
Anastasia Kordoni
Christopher Leckie
Isao Echizen
180
0
0
29 Sep 2024
Sample-Independent Federated Learning Backdoor Attack in Speaker Recognition
Cluster Computing (CC), 2024
Weida Xu
Yang Xu
Sicong Zhang
FedML
AAML
323
2
0
25 Aug 2024
Evolutionary Trigger Detection and Lightweight Model Repair Based Backdoor Defense
Qi Zhou
Zipeng Ye
Yubo Tang
Wenjian Luo
Yuhui Shi
Yan Jia
AAML
286
2
0
07 Jul 2024
A general approach to enhance the survivability of backdoor attacks by decision path coupling
Yufei Zhao
Dingji Wang
Bihuan Chen
Ziqian Chen
Xin Peng
AAML
224
0
0
05 Mar 2024
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem
Georg Pichler
Marco Romanelli
Divya Prakash Manivannan
Prashanth Krishnamurthy
Farshad Khorrami
Siddharth Garg
162
4
0
26 Feb 2024
Preference Poisoning Attacks on Reward Model Learning
Junlin Wu
Zhenghao Hu
Chaowei Xiao
Chenguang Wang
Ning Zhang
Yevgeniy Vorobeychik
AAML
287
11
0
02 Feb 2024
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning
International Journal of Computer Vision (IJCV), 2024
Baoyuan Wu
Hongrui Chen
Ruotong Wang
Zihao Zhu
Shaokui Wei
Danni Yuan
Mingli Zhu
Ke Xu
Li Liu
Chaoxiao Shen
AAML
ELM
281
19
0
26 Jan 2024
The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers
Orson Mengara
AAML
387
4
0
03 Jan 2024
UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks
Bingyin Zhao
Yingjie Lao
AAML
331
2
0
17 Dec 2023
Mitigating Backdoors within Deep Neural Networks in Data-limited Configuration
Soroush Hashemifar
Saeed Parsa
Morteza Zakeri-Nasrabadi
AAML
189
0
0
13 Nov 2023
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models
Boyang Zhang
Zheng Li
Ziqing Yang
Xinlei He
Michael Backes
Mario Fritz
Yang Zhang
346
8
0
19 Oct 2023
Stealthy Low-frequency Backdoor Attack against Deep Neural Networks
Xinrui Liu
Yu-an Tan
Yajie Wang
Kefan Qiu
Yuan-zhang Li
AAML
131
1
0
10 May 2023
Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks
Nils Lukas
Florian Kerschbaum
276
1
0
07 May 2023
Adversary Aware Continual Learning
IEEE Access (IEEE Access), 2023
Muhammad Umer
R. Polikar
AAML
196
4
0
27 Apr 2023
Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning
Hao Chen
Chen Gong
Yizhen Wang
Xinwen Hou
AAML
274
3
0
01 Apr 2023
Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency
Computer Vision and Pattern Recognition (CVPR), 2023
Xiaogeng Liu
Minghui Li
Haoyu Wang
Shengshan Hu
Dengpan Ye
Hai Jin
Libing Wu
Chaowei Xiao
AAML
200
56
0
27 Mar 2023
Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder
Tao Sun
Lu Pang
Chao Chen
Haibin Ling
Haibin Ling
AAML
343
0
0
27 Mar 2023
Black-box Backdoor Defense via Zero-shot Image Purification
Neural Information Processing Systems (NeurIPS), 2023
Yucheng Shi
Mengnan Du
Xuansheng Wu
Zihan Guan
Jin Sun
Ninghao Liu
288
41
0
21 Mar 2023
Influencer Backdoor Attack on Semantic Segmentation
International Conference on Learning Representations (ICLR), 2023
Haoheng Lan
Jindong Gu
Juil Sock
Hengshuang Zhao
AAML
342
9
0
21 Mar 2023
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning
Soumyadeep Pal
Ren Wang
Yuguang Yao
Sijia Liu
203
7
0
20 Jan 2023
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning
Jianyi Zhang
Fangjiao Zhang
Qichao Jin
Zhiqiang Wang
Xiaodong Lin
X. Hei
AAML
FedML
192
2
0
28 Dec 2022
Learned-Database Systems Security
R. Schuster
Jinyi Zhou
Thorsten Eisenhofer
Paul Grubbs
Nicolas Papernot
AAML
408
2
0
20 Dec 2022
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks
Zeyang Sha
Xinlei He
Pascal Berrang
Mathias Humbert
Yang Zhang
AAML
272
49
0
18 Dec 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
Huiyun Cao
Wenlong Zou
Yinkun Wang
Ting Song
Mengjun Liu
AAML
243
6
0
19 Oct 2022
Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer
Tong Wang
Xingtai Lv
F. Xu
Miao Xu
Shengwei An
Ting Wang
AAML
164
3
0
13 Aug 2022
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning
Neural Information Processing Systems (NeurIPS), 2022
Baoyuan Wu
Hongrui Chen
Ruotong Wang
Zihao Zhu
Shaokui Wei
Danni Yuan
Chaoxiao Shen
ELM
AAML
324
191
0
25 Jun 2022
Defending Backdoor Attacks on Vision Transformer via Patch Processing
AAAI Conference on Artificial Intelligence (AAAI), 2022
Khoa D. Doan
Yingjie Lao
Peng Yang
Ping Li
AAML
238
27
0
24 Jun 2022
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
International Conference on Machine Learning (ICML), 2022
Jinkun Lin
Anqi Zhang
Mathias Lécuyer
Jinyang Li
Aurojit Panda
S. Sen
TDI
FedML
217
63
0
20 Jun 2022
Contributor-Aware Defenses Against Adversarial Backdoor Attacks
Glenn Dawson
Muhammad Umer
R. Polikar
AAML
120
0
0
28 May 2022
Towards A Proactive ML Approach for Detecting Backdoor Poison Samples
USENIX Security Symposium (USENIX Security), 2022
Xiangyu Qi
Tinghao Xie
Jiachen T. Wang
Tong Wu
Saeed Mahloujifar
Prateek Mittal
AAML
356
69
0
26 May 2022
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free
Computer Vision and Pattern Recognition (CVPR), 2022
Tianlong Chen
Zhenyu Zhang
Yihua Zhang
Shiyu Chang
Sijia Liu
Zinan Lin
AAML
201
28
0
24 May 2022
Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning
Arezoo Rajabi
Bhaskar Ramasubramanian
Radha Poovendran
AAML
235
5
0
25 Mar 2022
Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning
Gorka Abad
Servio Paguada
Oguzhan Ersoy
S. Picek
Víctor Julio Ramírez-Durán
A. Urbieta
FedML
207
9
0
16 Mar 2022
A Survey of Neural Trojan Attacks and Defenses in Deep Learning
Jie Wang
Ghulam Mubashar Hassan
Naveed Akhtar
AAML
192
27
0
15 Feb 2022
AntidoteRT: Run-time Detection and Correction of Poison Attacks on Neural Networks
Muhammad Usman
Youcheng Sun
D. Gopinath
C. Păsăreanu
AAML
123
1
0
31 Jan 2022
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation
Conference on Computer and Communications Security (CCS), 2022
Zayd Hammoudeh
Daniel Lowd
TDI
283
38
0
25 Jan 2022
CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing
European Conference on Computer Vision (ECCV), 2021
Haibo Jin
Ruoxi Chen
Jinyin Chen
Haibin Zheng
Andy Zhou
Haohan Wang
AAML
290
2
0
24 Dec 2021
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks
Xiangyu Qi
Tinghao Xie
Ruizhe Pan
Jifeng Zhu
Yong-Liang Yang
Kai Bu
AAML
254
73
0
25 Nov 2021
Backdoor Attack through Frequency Domain
Tong Wang
Xingtai Lv
Feng Xu
Shengwei An
Hanghang Tong
Ting Wang
AAML
261
41
0
22 Nov 2021
Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks
Yangyi Chen
Fanchao Qi
Hongcheng Gao
Zhiyuan Liu
Maosong Sun
SILM
183
23
0
15 Oct 2021
De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2021
Jian Chen
Xuxin Zhang
Rui Zhang
Chen Wang
Ling Liu
AAML
165
103
0
08 May 2021
MISA: Online Defense of Trojaned Models using Misattributions
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2021
Panagiota Kiourti
Wenchao Li
Anirban Roy
Karan Sikka
Susmit Jha
268
10
0
29 Mar 2021
TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors
European Symposium on Security and Privacy (EuroS&P), 2020
Ren Pang
Zheng Zhang
Xiangshan Gao
Zhaohan Xi
S. Ji
Peng Cheng
Xiapu Luo
Ting Wang
AAML
418
45
0
16 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Jiabo He
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
611
479
0
07 Dec 2020
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